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100-daysofcode-datascience

2015

Public material for CS109

2023-turkey-eq

2023 Kahramanmaraş earthquake sequence in Turkey: co-seismic displacement from SAR

6sv_prisma

aa

Este repo contiene los scripts de la parte practica del curso de Postgrado Aprendizaje Automático (IG)

acolite

ACOLITE: generic atmospheric correction module

agml

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

alphatensor

argenmap

Visualizador de mapas

arset-cropclassification

Crop Classification with Sentinel 1/2 - NASA ARSET Training: https://appliedsciences.nasa.gov/join-mission/training/english/arset-agricultural-crop-classification-synthetic-aperture-radar-and

automating-gis

Course material for the course ‘Automating GIS processes’ at the University of Helsinki, Finland

awesome-gee-community-datasets

Community Datasets added by users and made available for use at large

awesome-geospatial

Long list of geospatial tools and resources

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

brackets

An open source code editor for the web, written in JavaScript, HTML and CSS.

cafmodelingmetriccropsyst_dotnet_cafeeflux

.NET Core 2.0 command line utility to obtain images from EEFlux

check_github_setup

A repository to check github setup and demonstrate basic git operations

cloudcompare

CloudCompare main repository

cnn-usando-keras

Aprende a #programar​ una Red Neuronal Convolucional (Convolutional Neural Network conocida como #CNN​) desde cero en #Python utilizando #Keras. Deja tus dudas en la secciones de comentarios.

code

Config files for my GitHub profile.

comparing_eefluxetr_to_cimis_eto

Determining Correction Factors for EEFlux ETr data using CIMIS ETo and then applying corrections to ETr maps.

conae_2022

Materials for CONAE spring school tutorial on "Analyzing satellite image collections on public cloud platforms with R"

cug-hydrometeorology.py

HydroMeteorology in the CUG

curso.prep.henry

curso_basico_geemap

This course introduces beginners to Google Earth Engine using Python in Google Colab. Explore remote sensing, process geospatial data, create dynamic visualizations, and understand drought indices. Develop skills for environmental monitoring and decision-making without needing local installations.

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

custom_color_palette

Python package to create a custom color palette.

d3.github.com

The D3 website.

dark-mode-gee

Saving nerds eyes.

dask-ee

Google Earth Engine Feature Collections via Dask Dataframes